Demo

Senior Data Scientist

FanThreeSixty
Leawood, KS Full Time
POSTED ON 3/19/2025
AVAILABLE BEFORE 4/17/2025
Job Description Summary

The FanThreeSixty Senior Data Scientist will develop solutions that help sports and entertainment enterprises utilize their fan data. The role will make use of advanced analytical and machine-learning techniques to deliver practical tools and insights that help solve our clients' most complex problems. Success will depend upon the ability to collaborate with the broader business to implement product requirements, prototype advanced data-driven insights, and present new and compelling ideas to advance our solutions.

Job Description

ESSENTIAL FUNCTIONS

  • Apply data science techniques and tools such as data profiling, statistical analysis, machine learning, and data visualization to help answer questions and power insights in our Fan Data Platform.
  • Work alongside other team members to solve client problems and document results and methodologies.
  • Support the continual improvement of our data ecosystem including working to define new data models, understand external data assets, and implement data quality and validation processes.
  • Provide ongoing tracking and monitoring for our data systems.
  • Present results and recommended actions based on our data analysis to others within the business including those that contradict common belief when necessary.
  • Foster professional development to others on the data science team through daily guidance and technical reviews.
  • Implement enhancements and fixes to the systems as needed.
  • Represent FanThreeSixty in a professional manner at all times.
  • Perform other related tasks as assigned.


PERSONAL ATTRIBUTES

  • Driven to continually learn and develop data science, technical, and personal skills
  • Comfortable presenting complex analysis and results to non-technical users.
  • Ability to mentor and lead other data scientists both technically and personally.
  • Desire to work both independently and collaboratively across teams including Product, Client Success, and Engineering.
  • Strong problem-solving, analytical, and strategic thinking skills.
  • Unrelenting desire to deliver high quality, data-driven products.


Skills And Experience

  • Bachelor’s degree or higher in data science, mathematics, statistics, computer science or other related field.
  • 3 to 5 years of professional experience as a data scientist or performing advanced data analysis.
  • Experience with Python data science tools including Pandas, DuckDB, matplotlib, scikit-learn, and XGBoost.
  • Experience with a variety of data storage technology including relational databases (Postgres, MySQL), object stores (S3), and NoSQL databases (MongoDB, Elasticsearch)
  • Experience with a data visualization tool (Tableau, PowerBI).
  • Experience with a data orchestrator (Airflow, Dagster).
  • Familiarity with basic principles of distributed computing and cloud infrastructure
  • Experience working in a product-driven data science environment.
  • Proficient with business tooling such as Google Apps or Microsoft Office

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